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Associated factors of burnout among Chinese vaccination staff during COVID-19 epidemic: A cross-sectional study

OBJECTIVE: During the COVID-19 epidemic, vaccination staff had three main aspects of work: routine vaccination for children and adults, COVID-19 vaccination and COVID-19 prevention and control. All these works significantly increased the workload of vaccination staff. This study aimed to investigate...

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Autores principales: Gu, Wenwen, Liu, Yan, Lu, Zhaojun, Wang, Jun, Che, Xinren, Xu, Yuyang, Zhang, Xuechao, Wang, Jing, Du, Jian, Zhang, Xiaoping, Chen, Junfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030716/
https://www.ncbi.nlm.nih.gov/pubmed/36969614
http://dx.doi.org/10.3389/fpubh.2023.1086889
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author Gu, Wenwen
Liu, Yan
Lu, Zhaojun
Wang, Jun
Che, Xinren
Xu, Yuyang
Zhang, Xuechao
Wang, Jing
Du, Jian
Zhang, Xiaoping
Chen, Junfang
author_facet Gu, Wenwen
Liu, Yan
Lu, Zhaojun
Wang, Jun
Che, Xinren
Xu, Yuyang
Zhang, Xuechao
Wang, Jing
Du, Jian
Zhang, Xiaoping
Chen, Junfang
author_sort Gu, Wenwen
collection PubMed
description OBJECTIVE: During the COVID-19 epidemic, vaccination staff had three main aspects of work: routine vaccination for children and adults, COVID-19 vaccination and COVID-19 prevention and control. All these works significantly increased the workload of vaccination staff. This study aimed to investigate the prevalence and influencing factors of burnout among vaccination staff in Hangzhou, China. METHODS: A total of 501 vaccination staff from 201 community/township healthcare centers in Hangzhou were recruited using a cross-sectional survey through WeChat social platform. The Maslach Burnout Inventory-General Scale (MBI-GS) was used to assess the level of burnout. Descriptive statistics were made on the characteristics of participants. Univariate analysis using the chi-square test and multivariable analysis using binary logistic regression were conducted to determine the relative predictors of burnout. Univariate analysis and multiple linear regression were used to determine the relative predictors of exhaustive emotion, cynicism, and personal accomplishment. RESULTS: During the COVID-19 pandemic, 20.8% of the vaccination staff experienced burnout. Educational level above undergraduate education level, medium professional title, and more working time in COVID-19 vaccination work reported a higher degree of job burnout. The vaccination staff was experiencing a high degree of exhaustive emotion, cynicism, and low personal accomplishment. Professional title, working place, and working time for COVID-19 vaccination were associated with exhaustive emotion and cynicism. Professional title and participation time for COVID-19 prevention and control were associated with personal accomplishment. CONCLUSIONS: Our findings suggest that the prevalence rate of burnout is high among vaccination staff during the COVID-19 pandemic, especially with a low level of personal accomplishment. Psychological intervention for vaccination staff is urgently needed.
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spelling pubmed-100307162023-03-23 Associated factors of burnout among Chinese vaccination staff during COVID-19 epidemic: A cross-sectional study Gu, Wenwen Liu, Yan Lu, Zhaojun Wang, Jun Che, Xinren Xu, Yuyang Zhang, Xuechao Wang, Jing Du, Jian Zhang, Xiaoping Chen, Junfang Front Public Health Public Health OBJECTIVE: During the COVID-19 epidemic, vaccination staff had three main aspects of work: routine vaccination for children and adults, COVID-19 vaccination and COVID-19 prevention and control. All these works significantly increased the workload of vaccination staff. This study aimed to investigate the prevalence and influencing factors of burnout among vaccination staff in Hangzhou, China. METHODS: A total of 501 vaccination staff from 201 community/township healthcare centers in Hangzhou were recruited using a cross-sectional survey through WeChat social platform. The Maslach Burnout Inventory-General Scale (MBI-GS) was used to assess the level of burnout. Descriptive statistics were made on the characteristics of participants. Univariate analysis using the chi-square test and multivariable analysis using binary logistic regression were conducted to determine the relative predictors of burnout. Univariate analysis and multiple linear regression were used to determine the relative predictors of exhaustive emotion, cynicism, and personal accomplishment. RESULTS: During the COVID-19 pandemic, 20.8% of the vaccination staff experienced burnout. Educational level above undergraduate education level, medium professional title, and more working time in COVID-19 vaccination work reported a higher degree of job burnout. The vaccination staff was experiencing a high degree of exhaustive emotion, cynicism, and low personal accomplishment. Professional title, working place, and working time for COVID-19 vaccination were associated with exhaustive emotion and cynicism. Professional title and participation time for COVID-19 prevention and control were associated with personal accomplishment. CONCLUSIONS: Our findings suggest that the prevalence rate of burnout is high among vaccination staff during the COVID-19 pandemic, especially with a low level of personal accomplishment. Psychological intervention for vaccination staff is urgently needed. Frontiers Media S.A. 2023-03-08 /pmc/articles/PMC10030716/ /pubmed/36969614 http://dx.doi.org/10.3389/fpubh.2023.1086889 Text en Copyright © 2023 Gu, Liu, Lu, Wang, Che, Xu, Zhang, Wang, Du, Zhang and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Gu, Wenwen
Liu, Yan
Lu, Zhaojun
Wang, Jun
Che, Xinren
Xu, Yuyang
Zhang, Xuechao
Wang, Jing
Du, Jian
Zhang, Xiaoping
Chen, Junfang
Associated factors of burnout among Chinese vaccination staff during COVID-19 epidemic: A cross-sectional study
title Associated factors of burnout among Chinese vaccination staff during COVID-19 epidemic: A cross-sectional study
title_full Associated factors of burnout among Chinese vaccination staff during COVID-19 epidemic: A cross-sectional study
title_fullStr Associated factors of burnout among Chinese vaccination staff during COVID-19 epidemic: A cross-sectional study
title_full_unstemmed Associated factors of burnout among Chinese vaccination staff during COVID-19 epidemic: A cross-sectional study
title_short Associated factors of burnout among Chinese vaccination staff during COVID-19 epidemic: A cross-sectional study
title_sort associated factors of burnout among chinese vaccination staff during covid-19 epidemic: a cross-sectional study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10030716/
https://www.ncbi.nlm.nih.gov/pubmed/36969614
http://dx.doi.org/10.3389/fpubh.2023.1086889
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